Update app.py
Browse files
app.py
CHANGED
@@ -72,7 +72,7 @@ def bansum(text):
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st.success(text_output)
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st.title("Bangla and English Summarizer:")
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st.subheader("Please,
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#@st.cache_resource(experimental_allow_widgets=True)
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def main():
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""" NLP Based Application with Streamlit """
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@@ -91,8 +91,9 @@ def main():
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tet = read_pdf(uploaded_photo)
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#tet = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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values = st.slider('Select a approximate number of lines to see and summarize',value=[0, len(tet)//(7*100)])
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text = tet[values[0]*7*10:values[1]*7*10] if values[0]!=len(tet)//(7*10) else tet[len(tet)//(7*100):]
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if st.checkbox("Show selected text
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st.success(text)
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engsum(text)
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if uploaded_photo:
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st.success(text_output)
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st.title("Bangla and English Summarizer:")
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st.subheader("Please, upload your PDF/Images or input texts to summarize: ")
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#@st.cache_resource(experimental_allow_widgets=True)
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def main():
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""" NLP Based Application with Streamlit """
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tet = read_pdf(uploaded_photo)
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#tet = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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values = st.slider('Select a approximate number of lines to see and summarize',value=[0, len(tet)//(7*100)])
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st.text("Select the text from you pdf")
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text = tet[values[0]*7*10:values[1]*7*10] if values[0]!=len(tet)//(7*10) else tet[len(tet)//(7*100):]
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if st.checkbox("Show the selected text:"):
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st.success(text)
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engsum(text)
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if uploaded_photo:
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